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LMS Algorithm in a Reproducing Kernel Hilbert Space

LMS Algorithm in a Reproducing Kernel Hilbert Space. Weifeng Liu, P. P. Pokharel, J. C. Principe Computational NeuroEngineering Laboratory, University of Florida Acknowledgment: This work was partially supported by NSF grant ECS-0300340 and ECS-0601271. Outlines. Introduction

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376 views • 37 slides

Method of Least Squares

Method of Least Squares. Least Squares. Method of Least Squares: Deterministic approach The inputs u(1), u(2), ..., u(N) are applied to the system The outputs y(1), y(2), ..., y(N) are observed Find a model which fits the input-output relation to a (linear?) curve, f(n,u(n))

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814 views • 26 slides

Systems of Linear Equations (see Appendix A.6, Trucco & Verri)

Systems of Linear Equations (see Appendix A.6, Trucco & Verri). CS485/685 Computer Vision Prof. George Bebis. Systems of linear equations. An arbitrary system of m linear equations in n unknowns can be written as:. where:. or. Example (m=n=2):. Solutions of Ax=b (m = n).

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188 views • 17 slides

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Minimum norm solution - PowerPoint PPT Presentation

LMS Algorithm in a Reproducing Kernel Hilbert Space

Method of Least Squares

Systems of Linear Equations (see Appendix A.6, Trucco &amp; Verri)

Systems of Linear Equations (see Appendix A.6, Trucco & Verri)